HighLevel, Inc.

HighLevel, Inc. is an all-in-one marketing and sales platform whose tools and services are designed to help businesses grow. Established in 2018, the company’

Senior Applied AI Scientist

Location

India

Posted

114 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishPythonSQL

Job Description

Senior Applied AI Scientist

HighLevel, Inc.

• Data Preparation - Prepare and maintain datasets for AI product evaluation, create annotation pipelines, build ground truth datasets, and support fine-tuning efforts with curated training examples • AI Model Evaluation - Test agent performance across model versions and prompt variations, build automated evaluation pipelines, and generate periodic reports that inform model selection and prompt engineering • Product Intelligence - Analyze user request patterns to identify high-demand use cases and capability gaps, cluster and classify large volumes of traces to find common themes and edge cases • User Analytics - Identify behaviors differentiating power users from casual users, analyze which user segments or industries drive highest engagement, and build statistical models to understand success vs failure drivers • Workflow Analytics - Optimize the first-time user funnel, correlate workflow usage patterns with customer retention, and identify power user behaviors across all workflows • Cost Optimization - Track quality metrics over time and alert on degradation, analyze token usage to identify cheaper model opportunities, and monitor latency across the agent pipeline (RAG, embeddings, generation) • Experimentation - Design and analyze statistically rigorous A/B tests for prompts and features, test new agent capabilities, and measure feature impact on user behavior and success rates

Job Requirements

  • 5+ years of experience in data science, analytics, or related role with demonstrated ownership of end-to-end analytics projects
  • Strong Python and SQL skills for working with large datasets at scale
  • Deep expertise in statistical analysis, experimental design, and A/B testing methodologies
  • Experience building data pipelines, automation scripts, and evaluation frameworks
  • Hands-on experience with LLM applications, prompt engineering, or AI products
  • Exceptional attention to detail with ability to identify edge cases and patterns in complex data
  • Strong communication skills - able to explain complex findings simply to stakeholders
  • Bachelor's degree or equivalent in Computer Science, Data Science, Statistics, Engineering, or related field

Benefits

  • Collaborative Culture: A passionate and driven team.
  • Ownership and Responsibility: It’s never somebody else’s job.
  • User-Centric: Focused on adding value for our users.
  • Agility: Fast delivery using lean principles, going to market in weeks instead of quarters.
  • Innovation: Good ideas always get tested.
  • Team Care: We take care of our team so they can take care of our users.
  • Continuous Improvement: Embracing constant and iterative improvement.
  • Learning Opportunity: Learn how to scale a B2B SaaS startup and build impactful products.

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